TY - GEN
T1 - Design of Metaheuristically Supervised Linear ADRC for a Magnetic Levitation System Control
AU - Blossom, Dephney
AU - Rao, Vidya S.
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
PY - 2024
Y1 - 2024
N2 - A magnetic levitation system exhibits features of frictionless motion, low maintenance, and environmental isolation along with characteristics like chaos, uncertainty, multiple disturbances, and is highly nonlinear. These characteristics require a controller that doesn’t depend on a precise mathematical model, improves stability, dynamic response, and is robust against disturbances. Hence a linear active disturbance rejection controller (LADRC) is introduced into the system. A metaheuristic algorithm called cuckoo search has been used to fine-tune the parameters of LADRC, offering optimal solution with strong global search capabilities. To analyze the effectiveness of the proposed intelligent controller LADRC using cuckoo search is compared with a traditional PID controller based on their dynamic response and tracking performance. The analysis showed that LADRC with cuckoo search algorithm had a better tracking performance and dynamic response.
AB - A magnetic levitation system exhibits features of frictionless motion, low maintenance, and environmental isolation along with characteristics like chaos, uncertainty, multiple disturbances, and is highly nonlinear. These characteristics require a controller that doesn’t depend on a precise mathematical model, improves stability, dynamic response, and is robust against disturbances. Hence a linear active disturbance rejection controller (LADRC) is introduced into the system. A metaheuristic algorithm called cuckoo search has been used to fine-tune the parameters of LADRC, offering optimal solution with strong global search capabilities. To analyze the effectiveness of the proposed intelligent controller LADRC using cuckoo search is compared with a traditional PID controller based on their dynamic response and tracking performance. The analysis showed that LADRC with cuckoo search algorithm had a better tracking performance and dynamic response.
UR - https://www.scopus.com/pages/publications/85210496941
UR - https://www.scopus.com/pages/publications/85210496941#tab=citedBy
U2 - 10.1007/978-3-031-75957-4_2
DO - 10.1007/978-3-031-75957-4_2
M3 - Conference contribution
AN - SCOPUS:85210496941
SN - 9783031759567
T3 - Communications in Computer and Information Science
SP - 14
EP - 26
BT - Intelligent Computing, Smart Communication and Network Technologies - 1st International Conference, ICICSCNT 2023, Proceedings
A2 - Dassan, Paulraj
A2 - Thirumaaran, Sethukarasi
A2 - Subramani, Neelakandan
PB - Springer Science and Business Media Deutschland GmbH
T2 - 1st International Conference on Intelligent Computing, Smart Communication, and Network Technologies, ICICSCNT 2023
Y2 - 17 May 2023 through 18 May 2023
ER -